4.7 Article

Knowledge-Based Evolutionary Optimizing Makespan and Cost for Cloud Workflows

Related references

Note: Only part of the references are listed.
Article Mathematics

The Application of Directed Hyper-Graphs for Analysis of Models of Information Systems

Balint Molnar et al.

Summary: Hyper-graphs can be used to formulate and analyze models of information systems, and facilitate model-checking, verification, and validation. This paper proposes a representation method using hyper-graphs for modeling information systems, and introduces formal and algorithmic-based model-checking methods. The proposed methods can be applied in real-life enterprise environments.

MATHEMATICS (2022)

Article Mathematics

An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics

Alexander Jung et al.

Summary: Personalised computer models of cardiac function, known as cardiac digital twins, are crucial for precision therapies of cardiovascular diseases. A novel and efficient approach for personalising biophysically detailed active mechanics models has been developed using a two-step multi-fidelity solution.

MATHEMATICS (2022)

Review Computer Science, Artificial Intelligence

A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds

Mehboob Hussain et al.

Summary: This study proposes a Multi-objective Quantum-inspired Genetic Algorithm (MQGA) to address workflow scheduling problems in hybrid cloud environments. By reducing makespan and energy consumption simultaneously, the algorithm utilizes quantum principles, such as qubits and quantum rotation gates, to improve population diversity and convergence.

APPLIED SOFT COMPUTING (2022)

Article Engineering, Multidisciplinary

Implementation of ANN and GA on building with PCM at various setpoints, PCM types, and installation locations to boost energy saving and CO2 saving

Salman Abbasian-Naghneh et al.

Summary: This study examined the effects of using phase change materials (PCMs) in building walls on cooling/heating loads and annual energy consumption. The results showed that the installation location of PCM is closely related to the thermal insulation position, and installing PCM next to the insulation can significantly reduce cooling loads.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2022)

Article Computer Science, Information Systems

Evolutionary Multi-Objective Workflow Scheduling for Volatile Resources in the Cloud

Thanh-Phuong Pham et al.

Summary: This article discusses the use of cloud computing as a distributed computing platform for scientific workflow applications. It addresses the issue of volatility in spot instances provided by cloud service providers and proposes a novel scheduling approach to optimize completion time and economic costs. Experimental results demonstrate that the proposed method outperforms existing techniques.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Article Computer Science, Information Systems

Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment

Huangke Chen et al.

Summary: This study focuses on improving the performance of cloud service platforms by minimizing uncertainty propagation in scheduling workflow applications. A novel scheduling architecture is designed to control the count of waiting tasks on service instances, and an uncertainty-aware Online Scheduling Algorithm (ROSA) is developed to schedule dynamic and multiple workflows with deadlines. Comparative simulation experiments show that ROSA outperforms five typical algorithms in terms of costs, deviation, resource utilization, and fairness.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2021)

Article Computer Science, Hardware & Architecture

Cost and makespan scheduling of workflows in clouds using list multiobjective optimization technique

Pengcheng Han et al.

Summary: The proposed heuristic method CMSWC aims to simultaneously minimize the cost and makespan of workflows in cloud computing, following a two-phase list scheduling philosophy and incorporating specific designs for multiobjective challenges. Extensive experiments demonstrate that this approach can generate better cost-makespan tradeofffronts than several state-of-the-art approaches.

JOURNAL OF SYSTEMS ARCHITECTURE (2021)

Article Computer Science, Information Systems

Towards decomposition based multi-objective workflow scheduling for big data processing in clouds

Emmanuel Bugingo et al.

Summary: A workflow is a group of tasks processed in order to complete an application, often used for modeling complex big-data applications. Optimizing conflicting objectives in executing complex applications in a distributed system is a common challenge, with most scheduling approaches focusing on single or bi-objective optimization. This paper proposes a multi-objective workflow-scheduling algorithm based on decomposition, capable of finding optimal solutions with a single run.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

Multi-objective workflow scheduling scheme: a multi-criteria decision making approach

Madhu Sudan Kumar et al.

Summary: This paper presents a cloud-based workflow scheduling algorithm based on TOPSIS, integrated with the EWM method. The algorithm aims to minimize cost and energy consumption while maximizing reliability, and has been tested on various benchmark scientific workflows, showing remarkable performance in terms of cost and energy consumption.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments

Bilal H. Abed-alguni et al.

Summary: This paper introduces a discrete version of the Distributed Grey Wolf Optimizer (DGWO) for scheduling dependent tasks in cloud computing environments. DGWO outperformed other optimization-based scheduling algorithms such as PSO and Grey Wolf Optimizer, providing faster task distribution to VMs and the best makespan in simulation results.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Information Systems

Energy and Cost-Aware Workflow Scheduling in Cloud Computing Data Centers Using a Multi-objective Optimization Algorithm

Ali Mohammadzadeh et al.

Summary: A multi-objective optimization approach is proposed for scientific workflow task-scheduling problems in cloud computing. Implementing scientific workflows on an energy-aware cloud platform remains a difficult challenge, with existing research often overlooking key issues such as energy variation and throughput.

JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT (2021)

Article Computer Science, Theory & Methods

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing

Goshgar Ismayilov et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Automation & Control Systems

MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows

Quanwang Wu et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)

Article Computer Science, Theory & Methods

Multi-objective scheduling of extreme data scientific workflows in Fog

Vincenzo De Maio et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Review Computer Science, Information Systems

Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review

Mehdi Hosseinzadeh et al.

JOURNAL OF GRID COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

Carlos A. Coello Coello et al.

COMPLEX & INTELLIGENT SYSTEMS (2020)

Article Computer Science, Information Systems

Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds

Huangke Chen et al.

IEEE TRANSACTIONS ON BIG DATA (2020)

Article Automation & Control Systems

Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach

Zong-Gan Chen et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Computer Science, Theory & Methods

Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT

Xiumin Zhou et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Computer Science, Theory & Methods

A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing

Anubhav Choudhary et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

Article Computer Science, Theory & Methods

Developing User Perceived Value Based Pricing Models for Cloud Markets

Peijin Cong et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2018)

Article Computer Science, Information Systems

An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds

Miao Zhang et al.

DISTRIBUTED AND PARALLEL DATABASES (2018)

Article Computer Science, Software Engineering

A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments

Maria Alejandra Rodriguez et al.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2017)

Article Computer Science, Artificial Intelligence

User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm

Xin Ye et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

Ran Cheng et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)

Article Computer Science, Theory & Methods

Evolutionary Multi-Objective Workflow Scheduling in Cloud

Zhaomeng Zhu et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2016)

Review Computer Science, Hardware & Architecture

Towards workflow scheduling in cloud computing: A comprehensive analysis

Mohammad Masdari et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)

Article Computer Science, Theory & Methods

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

Zhi-Hui Zhan et al.

ACM COMPUTING SURVEYS (2015)

Article Computer Science, Theory & Methods

Many-Objective Evolutionary Algorithms: A Survey

Bingdong Li et al.

ACM COMPUTING SURVEYS (2015)

Article Computer Science, Theory & Methods

Multi-objective energy-efficient workflow scheduling using list-based heuristics

Juan J. Durillo et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2014)

Article Computer Science, Theory & Methods

Meeting Deadlines of Scientific Workflows in Public Clouds with Tasks Replication

Rodrigo N. Calheiros et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2014)

Article Computer Science, Theory & Methods

Multi-objective list scheduling of workflow applications in distributed computing infrastructures

Hamid Mohammadi Fard et al.

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2014)

Article Computer Science, Artificial Intelligence

HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization

Johannes Bader et al.

EVOLUTIONARY COMPUTATION (2011)

Article Computer Science, Artificial Intelligence

MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Qingfu Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)